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Open Access How the Intelligent Recognition Industry Service (IRIS) Center is driving technological research in Artificial Intelligence

The Intelligent Recognition Industry Service (IRIS) Center, which is part of National Yunlin University of Science and Technology (YunTech), Taiwan, connects industry and academia in order to develop artificial intelligence (AI) solutions for pressing challenges in industrial automation, healthcare and industrial living. Professor Chuan-Yu Chang is Director of IRIS and Distinguished Professor at the Department of Computer Science and Information Engineering, YunTech. IRIS has four strategic principles: its human resource strand, international strategy, industrial strategy and technology pillar. Key foci centre on advancing international collaborations, introducing intelligent recognition technology within industry, promoting the use of AI and prompting its core technologies. Via its industrial service process, which begins with the identification of an industrial requirement and flows from diagnosis and resource matching, through to the provision of a customised service and problem resolution through the implementation and upgrade of technology, IRIS offers the expertise of its academic research staff to companies with a view to solving industry problems. IRIS is a leader in R&D in Taiwan and beyond, with particular strength in intelligent recognition technology, integrating sound recognition, medical imaging, UAV image recognition and vision inspection. The Centre seeks to advance R&D in these areas in order to improve lifestyles and workflow within Taiwan and highlight IRIS's status as a powerhouse in AI research on a global stage. An example of technology being developed at IRIS is the 'Infant Crying Translator' project, in which Chang and his team are using baby cry recognition technology and have launched the world's first baby cry recognition app to help parents understand the meaning of their baby's cries.

Keywords: AI; ARTIFICIAL INTELLIGENCE; HEALTHCARE; INDUSTRIAL AUTOMATION; INDUSTRY; INTELLIGENT LIVING; INTELLIGENT RECOGNITION TECHNOLOGY; R&D; RECOGNITION TECHNOLOGY; RESEARCH AND DEVELOPMENT; TECHNOLOGY

Document Type: Research Article

Publication date: February 1, 2021

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